Application of Grey Correlation Degree Analysis in Broad Bean Strain Screening

[Objectives] The aim was to clarify the target and approach to purifying and selecting Baoshan Touxinlv broad bean. [Methods] In 2012,5 homozygous strains were selected successfully as the material,and completely randomized block arrangement was adopted with 3 repeated trials to analyze the effects of plant height,effective length of podding branches,branch number per plant,pod number per plant,grain number per pod and 100-grain weight on the yield of each plant in the system. [Results] The results showed that the effects of the various factors on the yield of Baoshan broad beans were in the order of grain number per pod 〉 effective length of podding branches 〉 100-grain weight 〉 pod number per plant 〉 branch number per plant 〉 plant height. [Conclusions]In breeding new strains of Baoshan broad beans,under the premise of ensuring the seed nature and quality of the original variety,priority should be given to the gain number per pod and the increment of effective length of podding branches,followed by the pod number per plant,branch number per plant,plant height,which is the best way to breed new strains of Baoshan Touxinlv broad beans.

Analysis of Factors Influencing Comprehensive Productivity of Agriculture in Henan Province on the Basis of Grey Correlation

According to the data from Henan Statistical Yearbook from 2002 to 2008, from production capital, production conditions, labour inputs and financial support, this paper selects 11 variables influencing comprehensive productivity of agriculture in Henan Province. Through calculation and analysis of grey correlation of variables and comprehensive productivity of agriculture, this paper determines the impact of different variables on comprehensive productivity of agriculture. The results show that the agricultural capital has become the most important factor influencing comprehensive productivity of agriculture in Henan Province, while the impact of production conditions, labour inputs and financial support on comprehensive productivity of agriculture in Henan Province diminishes in turn. Corresponding countermeasures and suggestions are put forward to promote the sustainable development of comprehensive productivity of agriculture in Henan Province as follows: strengthen agricultural financial system building, and ensure agricultural production expenditure; scientifically arrange allocation of agricultural resources, and improve agricultural production conditions; carry out training of agricultural skills, and elevate the quality of agricultural labour forces; increase financial expenditure for agricultural production, and optimize financial expenditure structure.

Application of Grey-correlated Spectral Region Selection in Analysis of Near-infrared Spectra

The optimal selection method of spectral region based on the grey correlation analysis was applied in the analysis of near-infrared（NIR） spectra. In order to compute ＂characteristic＂ spectral region, 160 samples of tobacco were surveyed by NIR. Next, the whole spectral region was randomly divided into six regions, and the values of association coefficients and correlation orders of different regions were computed for total sugar, reducing sugar and nicotine. Moreover, two regions that owned the largest value of association coefficient were regarded as ＂characteristic＂ spectral region of a model. Finally, the quantitative analysis models of different components were established via the partial least squares method, and the common selection methods of spectral region were compared. The simulation results indicate that the models to choose the spectral region based on grey correlation analysis are more effective than the common selection methods of spectral region, the optimized time of algorithm is shorter, the prediction precision of the models is higher and generalization ability for quantitative analysis results is stronger. This research can provide the support for the quantitative analysis models of NIR spectra and new idea for commercial analysis software of NIR. So, it has a high application value in the analysis of NIR spectra.

Analysis on Industry Structure Adjustment and Energy Consumption Based on Grey Theory——A Case Study of Qinghai Province

In view of the complexity and non-linearity of energy consumption system and the status quo of the development of energy in Qinghai Province,the relations between energy consumption and industrial structure is analyzed by using the quantitative analysis of grey relation degree by using the grey system theory.The relevancy degree among the primary industry,the secondary industry and the tertiary industry and living energy consumption are obtained,and then the trend of energy consumption in the following several years can be predicted.The results show that the secondary industry has the largest relevancy degree to the total energy consumption.In the end,according to the results of the research,several suggestions on how to saving energy are put forward.Firstly,the government should improve the high-tech industry and restrict the development of high-consumption and high-pollution industries.Secondly,the government should promote the low-carbon way of life;promote energy saving and control the energy consumption of the department of life.Thirdly,clean production should be actively promoted in the tertiary industry and the circular economy should be vigorously expanded.

Application of Improved Matter-element Extension Method in Comprehensive Assessment of Shallow Groundwater

Taking shallow groundwater in Jinjiang City,Fujian Province for example,it was found that the classical element-matter analysis shows deficiency in calculation of correlation function,so the improved matter-element method was applied for the comprehensive assessment of shallow groundwater in Jinjiang City,and the spatial distribution was shown in maps.The assessment results demonstrated that ground water quality of most regions in the study area belonged to Grade I and II,thus the overall quality of shallow groundwater was good.The groundwater of Grade IV and V(relatively poor and extremely poor) was mainly distributed in Dongshi Town,Chendi Town,Zimao Town,and Shenhu Town,major exceeding-standard factors that influence shallow groundwater quality in the local area included TDS,Mn^(2+),NO_3,NO_2,NH_4^+ and Cl^-,which mainly owed to invasion of seawater,original geological conditions,industrial and agricultural discharge,and human life.

Comprehensive Evaluation Method for Traffic Flow Data Quality Based on Grey Correlation Analysis and Particle Swarm Optimization

Nowadays,data are more and more used for intelligent modeling and prediction,and the comprehensive evaluation of data quality is getting more and more attention as a necessary means to measure whether the data are usable or not.However,the comprehensive evaluation method of data quality mostly contains the subjective factors of the evaluator,so how to comprehensively and objectively evaluate the data has become a bottleneck that needs to be solved in the research of comprehensive evaluation method.In order to evaluate the data more comprehensively,objectively and differentially,a novel comprehensive evaluation method based on particle swarm optimization(PSO)and grey correlation analysis(GCA)is presented in this paper.At first,an improved GCA evaluation model based on the technique for order preference by similarity to an ideal solution(TOPSIS)is proposed.Then,an objective function model of maximum difference of the comprehensive evaluation values is built,and the PSO algorithm is used to optimize the weights of the improved GCA evaluation model based on the objective function model.Finally,the performance of the proposed method is investigated through parameter analysis.A performance comparison of traffic flow data is carried out,and the simulation results show that the maximum average difference between the evaluation results and its mean value(MDR)of the proposed comprehensive evaluation method is 33.24%higher than that of TOPSIS-GCA,and 6.86%higher than that of GCA.The proposed method has better differentiation than other methods,which means that it objectively and comprehensively evaluates the data from both the relevance and differentiation of the data,and the results more effectively reflect the differences in data quality,which will provide more effective data support for intelligent modeling,prediction and other applications.

粳糯产量与产量构成因素的灰色关联度分析

为明确粳糯产量构成因素对产量的影响,采用灰色关联度法对15份粳糯种质的11个产量相关性状进行综合评价。结果显示,产量构成性状与产量的关联度值表现为:有效穗数>结实率>实粒数>总粒数>株高>千粒质量>生育期>剑叶宽>穗长>剑叶长,关联度值分别为0.7856、0.7382、0.7238、0.7105、0.7089、0.6752、0.6737、0.6675、0.6613、0.6555。灰色关联度综合分析结果表明,粳糯稻产量育种应注重有效穗数、结实率、实粒数以及总粒数的选择。

时空数据影响下耕地空间布局优化模型仿真

由于耕地空间布局不仅需要考虑土地质量和生产潜力,还需要综合考虑环境保护、水文特征等因素影响,增加了空间布局规划的复杂性。为此,提出一种时空数据随机性影响下耕地空间布局规划方法。根据栅格空间数据和线性加权方法构建耕地布局规划模型,通过耕地质量自相关性计算耕地各指标数值,结合最优组合赋权法确定评价体系权重,利用增量自相关分析,归一化处理耕地指标数值,基于物元矩阵计算耕地地质环境的经典域与节域,获取耕地地质环境评价的综合关联程度,实现耕地空间布局规划。实验结果表明,所提方法时空数据随机性特征识别能力更强,耕地分类精度为94%,耕地空间布局规划效果好,空间集约性高,较小的耕地区域占地面积的NNI指数高达0.634。

两种分析方法在芝麻品种选育中的应用比较

为综合评价芝麻品种的产量性状及均衡性,筛选优质芝麻品种,本试验以20个芝麻高代材料为研究对象,采用雷达图和灰色关联分析法对千粒重、株高、每蒴粒数、单株蒴数、小区均产、单株产量、果轴长、有效果蒴数等8个性状进行综合分析。结果表明,Z06、Z12和Z16优于对照品种Z10,可选为苗头品系进行下一步区域试验。雷达图和灰色关联分析法作为多维度分析的方法,能够综合多个性状评价,更客观准确地评价对象,适宜于芝麻品种选育。

耐旱多年生观赏草春季观赏性评价

以植株长势、观赏性、花序美感、叶片颜色及越冬成活率等为评价指标,利用灰色关联分析,对20个耐旱多年生观赏草品种越冬能力和春季景观效果进行了综合评价,结果表明:Elytrigia repens,Festuca ovina,Stipa krylovii,Ar-rhenatherum elatius,Eragrostis curvula5种观赏草与理想品种的关联度较高,具有很好的景观效果,可直接应用于园林美化,且各有优势;Anemathele lessoniana和Imperata cylindrical春季观赏价值较低,与理想品种的关联度分别为0.443 5与0.553 5;Arundo donax虽具一定的观赏性,但越冬成活率低。

澳洲坚果主要品质性状的灰色关联度分析和模糊综合评判

以28份澳洲坚果种质的8个主要品质性状为指标,运用灰色关联度分析和模糊综合评判法对其种质品质性状进行综合定量评判。结果表明:灰色关联度和模糊综合评判的等权与加权评判结果吻合程度都高;结合两种综合评判,评价出‘南亚1号’和优株‘10’为品质优良种质,‘南亚2号’、‘O.C.’、优株‘114’等20份种质品质中等,而‘H2’、‘HAES333’、‘HAES695’、‘B3/74’、‘Yonik’和‘HAES814’等6份种质品质较差。

中国东部沿海沿边城市旅游气候舒适度评价

在温湿指数、风寒指数和着衣指数测定的基础上,构建了一个新的综合气候舒适度评价模型,该模型具有可比较和可加和等特点。运用新的模型,分析了我国东部沿海26个热点城市气候舒适度,划分出适宜于旅游活动的等级和时段分布,并对气候舒适度的南北变化进行了分析。依据最适期的年内分布将其划分为3种旅游气候类型:夏适型气候以哈尔滨为代表,春秋适宜型气候以北京和南京为代表,冬适型气候以海口为代表。从气候舒适度指数的南北差异来看,夏季气候舒适度指数随纬度升高而增大,北方具有更高的旅游气候舒适性;冬季气候舒适度随纬度降低而升高,南方具有更高的旅游气候舒适性。调查了4个代表城市的入境旅游客流量年内变化,揭示了入境客流量年内变化和南北差异,划分出旅游旺季、旅游平季和旅游淡季,其中哈尔滨客流量年内变化呈"W"形,北京和南京的客流量年内变化呈"M"形,海口的客流量年内变化上"凹"弧形。在客流量月指数与气候舒适度指数比较的基础上,通过对特殊因子的数值化,采用虚拟变量的回归分析方法,建立了入境旅游客流量月指数模拟模型。

应用灰色关联度分析法综合评判油菜品种

采用灰色系统理论中关联度分析法 ,对 1999 2 0 0 0年新疆油菜新品种区域试验中的 8个供试品系进行了多性状的综合评价。分析结果表明 ,在注重产量、含油率 ,兼顾其它性状的权重比例下 ,所进行的综合评判结果与大面积生产上品种的种植情况是一致的。初步认为 ,本法同样适合于不同地区最佳种植品种选择的分析。

澳洲坚果种仁矿质营养特性研究

对28份澳洲坚果种质的种仁矿质元素(K、P、Mg、Ca、Fe、Mn、Zn、Cu)含量进行测定与分析,并运用灰色关联度分析和模糊综合评判法对种质的矿质营养特性进行综合定量评判。结果表明:澳洲坚果种仁的矿质元素含量在供试种质之间变化较大,各元素在种仁内的平均含量由高到低依次为:K>Mg>P>Ca>Mn>Fe>Zn>Cu;经综合评判,‘南亚2号’和‘HAES 922’为矿质营养综合表现优良的种质,‘H2’、‘24’、‘10’等17份种质的矿质营养综合表现中等,而‘HAES 783’、‘HAES 333’、‘DAD’、‘NG 18’、‘HAES 246’、‘Yonik’、‘HAES 788’、‘HAES 814’和‘D’等9份种质的矿质营养综合表现较差。

松花江哈尔滨段城市水环境质量评价

为了科学地对松花江哈尔滨段水环境质量进行评价,基于水环境功能区划,采用灰色关联度法将其分为4个区域,运用主、客观相结合的方法分区域建立相应的评价指标体系,使用模糊综合评价法进行水质评价,同时,验证指标体系构建的合理性.结果表明:构建的指标体系能够反映研究对象水环境质量;除阿什河口内水质评价结果为V类,达不到水环境功能区划要求外,其他区域水质均能达标.研究结果将有利于促进水资源的科学管理和有效利用,研究方法可为水环境质量评价提供新的思路.

应用灰色关联度综合评价9个谷子的生产性能

[目的]为赤峰地区乃至内蒙古农牧交错带粮饲兼用谷子品种引种及推广提供科学依据。[方法]应用灰色关联度理论,对9个谷子的生产性能进行综合评价。[结果]9个谷子品种生产性能综合评价排序为:赤谷4号>赤谷10号>赤谷7号>峰谷12号>赤谷6号>赤谷9号>峰谷11号>赤谷5号>赤谷8号。各项指标的权重大小顺序为:干物质>千粒重>穗粗>粗纤维>穗长>粗灰分>株高>消化率>粗蛋白>种子产量>谷草干草产量>穗重>穗粒重。[结论]经综合评价表现较好的粮饲兼用谷子品种是赤谷4号、赤谷10号、赤谷7号,可在赤峰地区乃至内蒙古农牧交错带推广种植。

灰色关联分析在糯玉米品系综合评判中的应用

利用灰色关联度分析法,对2011年国家黄淮海糯玉米区域试验点的12个糯玉米参试品系(含对照)进行综合评判.结果表明:灰色综合评判方法可作为联合方差,高稳系数分析方法的直观补充,可以不限样本量,多品系比较.‘京彩甜糯’由于其品质关联度最高ξi(k)=1,秃尖适中,鲜穗产量ξi(k)=0.846 4较高,并且具有熟期短、皮渣率较小,抗倒伏系数高ξi(k)=0.955 7等优良品性,符合目前糯玉米品种审定的要求,已通过国家审定推广;灰色系统理论应用于糯玉米参试品种的综合评价,对指导地区引种、推广具有一定的科学性和实际意义.‘景糯518’的等权关联度最高,为0.837 4,‘锒糯2号’的加权关联度最高,为0.902 0,但是二者的品质性状太差,倒伏率较高,不利于糯玉米产业化和推广加工;权重系数的判定和相关性状的选定对结果的影响比较关键;灰色系统理论计算方法简单,可为品种的综合评价提供更直接的量化指标.

基于AHP法的宜宾市县域城镇化发展水平综合评价

以宜宾市区县为研究对象,从经济城镇化、人口城镇化、社会城镇化和空间城镇化4个方面构建县域城镇化水平的综合评价体系,利用层次分析法分析宜宾市10个区县的综合城镇化水平,并结合灰色关联度分析法和系统聚类法探讨县域城镇化发展的动力因子和区域差异特征。结果表明:经济城镇化和人口城镇化在县域综合城镇化水平评价体系中占有较大权重;县域城镇化水平空间差异显著,可分为县域城镇化水平较高地区、县域城镇化水平欠发展地区和县域城镇化水平落后地区3种类型。文章还对各类县域城镇化特征和成因进行了探讨。

6种干草调制方法的灰色关联度综合评价

在对6种干草调制方法下紫花苜蓿Medicago sativa干草质量研究的基础上,采用灰色关联度分析法对参试调制方法进行综合评价,得出各调制方法的优劣顺序为:1)65℃烘干;2)喷碳酸钾溶液;3)压扁+喷碳酸钾溶液;4)风干;5)压扁茎秆;6)自然晒干。65℃烘干综合表现最好,是6种调制方法中最好的,但不易操作;其次是喷碳酸钾溶液和压扁+喷碳酸钾溶液,此2种方法调制的干草质量较高且操作简单易行,在实际操作中可优先选用;晒干和压扁茎秆营养损失大,不是理想的调制方法。

应用灰色关联度分析法综合评价冷季型草坪草种

应用灰色关联度分析法,对2000～2002年沧州市农林科学院引进的4大草种37个品种的适应性鉴定结果进行分析,其评诂结果与草种、品种的实际表现基本一致,说明关联度分析法在冷季型草坪草种上的综合评估是可行的.